Table REF  shows the performance on the DIBCO 2011 data set.
The Otsu's threshold based on the enhanced images computed by the SR method provides best performance in terms of F-measure and DRD metrics, which shows that our proposed method produces the binarization maps with a less-distorted visual quality.
The method proposed in [1]} also uses a hierarchical neural network to predict the binary maps directly from the degraded images and it provides a slightly better performance in terms of F\(_{ps}\)  and PSNR.
Fig. REF  provides two failure examples on the DIBCO 2011 data set of our proposed method, which misses the weak ink strokes because in the training set, the ground-truth of the weak ink strokes is also very weak which is computed by the average ink pixels in a local patch.
Thus, these text regions are missed in final the binary maps computed by the Otsu's threshold.
This problem could be solved by training the network with more iterations with training samples of weak ink strokes.
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